Learning designs and learning analytics

Lori Lockyer*, Shane Dawson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

31 Citations (Scopus)

Abstract

Government and institutionally-driven reforms focused on quality teaching and learning in universities emphasize the importance of developing replicable, scalable teaching approaches that can be evaluated. In this context, learning design and learning analytics are two fields of research that may help university teachers design quality learning experiences for their students, evaluate how students are learning within that intended learning context and support personalized learning experiences for students. Learning Designs are ways of describing an educational experience such that it can be applied across a range of disciplinary contexts. Learning analytics offers new approaches to investigating the data associated with a learner's experience. This paper explores the relationship between learning designs and learning analytics.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Learning Analytics and Knowledge, LAK'11
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages153-156
Number of pages4
ISBN (Electronic)9781450309448
ISBN (Print)9781450310574
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event1st International Conference on Learning Analytics and Knowledge, LAK'11 - Banff, AB, Canada
Duration: 27 Feb 20111 Mar 2011

Other

Other1st International Conference on Learning Analytics and Knowledge, LAK'11
CountryCanada
CityBanff, AB
Period27/02/111/03/11

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